Project description:Deciphering cell cycle phases of polyphenic tissues is an important challenge in understanding the cellular mechanism of polymorphism. We use flow cytometry to analyze cell cycle phases of short wings and long wings of the brown planthopper. This provides information on the arresting cell cycle phases in different wing forms. The protocol could be applied to analysis of the cell cycle phases of other polyphenic insects and in different polyphenic tissues after modification. For complete details on the use and execution of this protocol, please refer to Lin et al. (2020).
Project description:The ability to overcome cellular restrictions that exist for the export and translation of mRNAs with retained introns is a requirement for the replication of retroviruses and also for the expression of many mRNA isoforms transcribed from cellular genes. In some cases, RNA structures have been identified in the mRNA that directly interact with cellular factors to promote the export and expression of isoforms with retained introns. In other cases, a viral protein is also required to act as an adapter. In this report we describe a novel vector system that allows measurement of the ability of cis- and trans-acting factors to promote the export and translation of mRNAs with retained introns. One reporter vector used in this system is derived from an HIV proviral clone engineered to express two different fluorescent proteins from spliced and unspliced transcripts. The ratio of fluorescent signals is a measurement of the efficiency of export and translation. A second vector utilizes a third fluorescent protein to measure the expression of viral export proteins that interact with some of the export elements. Both vectors can be packaged into viral particles and be used to transduce cells, allowing expression at physiological levels from the integrated vector.
Project description:Despite the recognized importance of antitumor immunity, our understanding of brain tumor immunity is poor. Orthotopic injection models have been widely used for immunological analyses. However, these models have limitations in analysis of antitumor immunity because the approach involves drilling skulls and injecting tumor cells, which can induce adverse effects. We describe a protocol for the induction of spontaneous brain tumor model, isolation of single cells from brain tumor microenvironment, and analysis of the immune responses using scRNA-seq and flow cytometry. For complete details on the use and execution of this protocol, please refer to Park et al. (2021).
Project description:We tested the possibility that we may express unique peptide probes on cell surfaces, and detect site-specific glycosylation on these peptides using flow cytometry. Such development can enhance the application of flow cytometry to detect and quantify post-translational modifications in proteins. To this end, the N-terminal section of the human leukocyte glycoprotein PSGL-1 (P-selectin glycoprotein ligand-1) was modified to contain a poly-histidine tag followed by a proteolytic cleavage site. Amino acids preceding the cleavage site have a single O-linked glycosylation site. The recombinant protein called PSGL-1 (HT) was expressed on the surface of two mammalian cell lines, CHO and HL-60, using a lentiviral delivery approach. Results demonstrate that the N-terminal portion of PSGL-1 (HT) can be released from these cells by protease, and the resulting peptide can be readily captured and detected using cytometry-bead assays. Using this strategy, the peptide was immunoprecipitated onto beads bearing mAbs against either the poly-histidine sequence or the human PSGL-1. The carbohydrate epitope associated with the released peptide was detected using HECA-452 and CSLEX-1, monoclonal antibodies that recognize the sialyl Lewis-X epitope. Finally, the peptide released from cells could be separated and enriched using nickel chelate beads. Overall, such an approach that combines recombinant protein expression with flow cytometry may be useful to quantify changes in site-specific glycosylation for basic science and clinical applications.
Project description:Modern sugarcane is an unusually complex heteroploid crop, and its genome comprises two or three subgenomes. To reduce the complexity of sugarcane genome research, the ploidy level and number of chromosomes can be reduced using flow chromosome sorting. However, a cell cycle synchronization (CCS) protocol for Saccharum spp. is needed that maximizes the accumulation of metaphase chromosomes. For flow cytometry analysis in this study, we optimized the lysis buffer, hydroxyurea(HU) concentration, HU treatment time and recovery time for sugarcane. We determined the mitotic index by microscopic observation and calculation. We found that WPB buffer was superior to other buffers for preparation of sugarcane nuclei suspensions. The optimal HU treatment was 2 mM for 18 h at 25 °C, 28 °C and 30 °C. Higher recovery treatment temperatures were associated with shorter recovery times (3.5 h, 2.5 h and 1.5 h at 25 °C, 28 °C and 30 °C, respectively). The optimal conditions for treatment with the inhibitor of microtubule polymerization, amiprophos-methyl (APM), were 2.5 μM for 3 h at 25 °C, 28 °C and 30 °C. Meanwhile, preliminary screening of CCS protocols for Badila were used for some main species of genus Saccharum at 25 °C, 28 °C and 30 °C, which showed that the average mitotic index decreased from 25 °C to 30 °C. The optimal sugarcane CCS protocol that yielded a mitotic index of >50% in sugarcane root tips was: 2 mM HU for 18 h, 0.1 X Hoagland's Solution without HU for 3.5 h, and 2.5 μM APM for 3.0 h at 25 °C. The CCS protocol defined in this study should accelerate the development of genomic research and cytobiology research in sugarcane.
Project description:BackgroundRecent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular has proven to be a powerful tool amenable for many applications. However, it cannot be directly applied to large datasets due to time and memory limitations. To address this issue, we have modified spectral clustering by adding an information preserving sampling procedure and applying a post-processing stage. We call this entire algorithm SamSPECTRAL.ResultsWe tested our algorithm on flow cytometry data as an example of large, multidimensional data containing potentially hundreds of thousands of data points (i.e., "events" in flow cytometry, typically corresponding to cells). Compared to two state of the art model-based flow cytometry clustering methods, SamSPECTRAL demonstrates significant advantages in proper identification of populations with non-elliptical shapes, low density populations close to dense ones, minor subpopulations of a major population and rare populations.ConclusionsThis work is the first successful attempt to apply spectral methodology on flow cytometry data. An implementation of our algorithm as an R package is freely available through BioConductor.
Project description:Low dose computed tomography (LDCT) is the standard of care for lung cancer screening in the United States (US). LDCT has a sensitivity of 93.8% but its specificity of 73.4% leads to potentially harmful follow-up procedures in patients without lung cancer. Thus, there is a need for additional assays with high accuracy that can be used as an adjunct to LDCT to diagnose lung cancer. Sputum is a biological fluid that can be obtained non-invasively and can be dissociated to release its cellular contents, providing a snapshot of the lung environment. We obtained sputum from current and former smokers with a 30+ pack-year smoking history and who were either confirmed to have lung cancer or at high risk of developing the disease. Dissociated sputum cells were counted, viability determined, and labeled with a panel of markers to separate leukocytes from non-leukocytes. After excluding debris and dead cells, including squamous epithelial cells, we identified reproducible population signatures and confirmed the samples' lung origin. In addition to leukocyte and epithelial-specific fluorescent antibodies, we used the highly fluorescent meso-tetra(4-carboxyphenyl) porphyrin (TCPP), known to preferentially stain cancer (associated) cells. We looked for differences in cell characteristics, population size and fluorescence intensity that could be useful in distinguishing cancer samples from high-risk samples. We present our data demonstrating the feasibility of a flow cytometry platform to analyze sputum in a high-throughput and standardized matter for the diagnosis of lung cancer.
Project description:Flow cytometry is a powerful method, which is widely used for high-throughput quantitative and qualitative analysis of cells. However, its straightforward applicability for extracellular vesicles (EVs) and mainly exosomes is hampered by several challenges, reflecting mostly the small size of these vesicles (exosomes: ~80-200 nm, microvesicles: ~200-1,000 nm), their polydispersity, and low refractive index. The current best and most widely used protocol for beads-free flow cytometry of exosomes uses ultracentrifugation (UC) coupled with floatation in sucrose gradient for their isolation, labeling with lipophilic dye PKH67 and antibodies, and an optimized version of commercial high-end cytometer for analysis. However, this approach requires an experienced flow cytometer operator capable of manual hardware adjustments and calibration of the cytometer. Here, we provide a novel and fast approach for quantification and characterization of both exosomes and microvesicles isolated from cell culture media as well as from more complex human samples (ascites of ovarian cancer patients) suitable for multiuser labs by using a flow cytometer especially designed for small particles, which can be used without adjustments prior to data acquisition. EVs can be fluorescently labeled with protein-(Carboxyfluoresceinsuccinimidyl ester, CFSE) and/or lipid- (FM) specific dyes, without the necessity of removing the unbound fluorescent dye by UC, which further facilitates and speeds up the characterization of microvesicles and exosomes using flow cytometry. In addition, double labeling with protein- and lipid-specific dyes enables separation of EVs from common contaminants of EV preparations, such as protein aggregates or micelles formed by unbound lipophilic styryl dyes, thus not leading to overestimation of EV numbers. Moreover, our protocol is compatible with antibody labeling using fluorescently conjugated primary antibodies. The presented methodology opens the possibility for routine quantification and characterization of EVs from various sources. Finally, it has the potential to bring a desired level of control into routine experiments and non-specialized labs, thanks to its simple bead-based standardization.
Project description:This protocol describes a method to permit the tracking of cells through the cell cycle without requiring the cells to be synchronized. Achieving cell synchronization can be difficult for many cell systems. Standard practice is to block cell cycle progression at a specific stage and then release the accumulated cells producing a wave of cells progressing through the cycle in unison. However, some cell types find this block toxic resulting in abnormal cell cycling, or even mass death. Bromodeoxyuridine (BrdU) uptake can be used to track the cell cycle stage of individual cells. Cells incorporate this synthetic thymidine analog, while synthesizing new DNA during S phase. By providing BrdU for a brief period it is possible to mark a pool of cells that were in S phase while the BrdU was present. These cells can then be tracked through the remainder of the cell cycle and into the next round of replication, permitting the duration of the cell cycle phases to be determined without the need to induce a potentially toxic cell cycle block. It is also possible to determine and correlate the expression of both internal and external proteins during subsequent stages of the cell cycle. These can be used to further refine the assignment of cell cycle stage or assess effects on other cellular functions such as checkpoint activation or cell death.
Project description:Flow cytometry is a valuable method for analyzing protein expressions at the single cell level but can be difficult to apply to large numbers of samples. This protocol provides instructions to perform a high-throughput small molecule screen using flow cytometry analysis of THP-1 cells, a human monocytic leukemia cell line. We describe a methodology for identifying compounds that regulate PD-L1 surface expression in IFN-γ-stimulated cells, which has been successfully used to screen a collection of ∼200,000 compounds. For complete details on the use and execution of this protocol, please refer to Zavareh et al. (2020).